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An entire hugely important potentially world changing field not having representation from a huge swath of the population certainly seems problematic. That lack
by wackycat 3y ago
An entire hugely important potentially world changing field not having representation from a huge swath of the population certainly seems problematic. That lack of representation combined with the bias present in the training data is a universal problem. And in terms of the second part; the problems with such widespread usage are many fold, with detrimental bias and lack of representation as one of the many folds.
- rayiner 3y ago> An entire hugely important potentially world changing field not having representation from a huge swath of the population certainly seems problematic. I assume lots of groups are underrepresented, depending on how you slice up humanity. Why is that a problem in and of itself? Ensuring training data is representative is a fundamental technique of data science that you can implement regardless of skin color. > And in terms of the second part; the problems with such widespread usage are many fold, with detrimental bias and lack of representation as one of the many folds. But what does that have to do with who is working on the AI systems?